ReQON

ReQON recalibrates base quality scores in next-generation sequencing (NGS) data to improve the accuracy of per-base error probabilities for downstream analyses such as variant calling and genome assembly.

Key Features:

• Quality Score Recalibration: Applies a logistic regression model to recalibrate base quality scores from aligned sequencing data.
• Input/Output Formats: Operates on aligned BAM files and produces a new BAM file with updated quality scores.
• Diagnostic Plots: Generates diagnostic plots that visualize the effectiveness of the recalibration process.
• Comparative Benchmarking: Has been benchmarked against other recalibration tools, showing reduced bias and improved quality-score accuracy.
• Implementation: Implemented in R.

Scientific Applications:

• Variant Calling: Provides refined base quality scores to improve discrimination between sequencing errors and true genetic variants for more accurate variant calls.
• Genome Assembly: Enhances base-level accuracy in reads used for genome assembly, contributing to improved assembly quality.
• General Genomic Analyses: Improves reliability of downstream NGS analyses that depend on accurate per-base error probabilities.

Methodology:

ReQON applies logistic regression to base qualities in aligned BAM files, writes an updated BAM with recalibrated scores, generates diagnostic plots, and was benchmarked against other recalibration tools; it is implemented in R.